"Sentinel Wall" โลโก้
cBot
เวอร์ชัน 1.2, Feb 2026
Windows, Mac, Mobile, Web
3.5
รีวิว: 2
34.6%
ROI
4
อัตราส่วนกำไรต่อขาดทุน
4%
Drawdown สูงสุด
"Sentinel Wall" ภาพที่อัปโหลด
"Sentinel Wall" ภาพที่อัปโหลด
"Sentinel Wall" ภาพที่อัปโหลด
"Sentinel Wall" ภาพที่อัปโหลด
"Sentinel Wall" ภาพที่อัปโหลด
42.1M
ปริมาณการเทรด
6.13M
Pips ที่ได้กำไร
161
การขาย
6.63K
ติดตั้งฟรี

🤖 Wall Sentinel – Options Walls Trading Bot

Wall Sentinel is an advanced trading cBot designed to operate around Options Walls and the Gamma Wall — key levels derived from the options market that often act as institutional support, resistance, and high-reaction price zones.

The bot automatically connects to AlgoTrend Options Walls data, delivered through an automated Apify data scraper, performing the kind of structured market-level analysis that large investors and professional desks often pay thousands of euros per year to access.

Wall Sentinel combines institutional-grade options data with adaptive technical filters (EMA, RSI, ATR) to trade only when price interacts with strategic, high-probability reaction levels.

This is not a random indicator bot — it is a context-aware trading system.


🧠 Trading Logic

Wall Sentinel:

  1. Periodically downloads updated Options Walls data
  2. Identifies:
    • Put Walls → Potential support zones
    • Call Walls → Potential resistance zones
    • Gamma Wall → Price magnet level
  3. Evaluates:
    • Distance between current price and key walls
    • Directional market bias from options data
    • Market regime (trend, range, volatility)
    • Technical confirmation (EMA + RSI filters)
  4. Opens trades only when:
    • Price is near high-importance walls
    • Technical filters confirm the setup
    • Spread and risk conditions are acceptable

This creates a trading approach aligned with where large positioning and hedging flows exist, not just price patterns.

⚙️ Wall Sentinel — Complete Parameter Guide

Wall Sentinel combines institutional options market levels with technical confirmation filters. Each parameter controls how the bot interprets market structure, timing, and risk.


🔹 GENERAL SETTINGS

Bot Mode

Defines how the cBot behaves operationally.

  • Trading → Full automation. The bot analyzes options walls data and executes trades when conditions are met.
  • BiasOnly → Informational mode. The bot still downloads and processes institutional bias and wall data but does not open trades. Useful for discretionary traders who want decision support without automation.


Volume (Lots)

Specifies the position size for each trade.

This directly affects risk exposure. Since Wall Sentinel trades around structural levels that can trigger strong reactions, lot size should be adjusted according to account balance and risk tolerance.


Debug Log

Enables or disables detailed terminal output.

When enabled, the bot prints:

  • Data download status
  • Wall parsing results
  • Market conditions
  • System activity

Recommended ON during setup and testing, optional during live trading.


🖥 DISPLAY SETTINGS

Show Info Panel

Shows a real-time information panel directly on the chart.

The panel displays:

  • Market bias from options positioning
  • Market regime (trend, range, volatile)
  • Distance from key Put/Call walls
  • General system status

This turns the bot into both a trading system and a decision-support dashboard.


Display Panel Position

Controls vertical placement of the info panel (Top or Bottom of the chart).


Display Panel Horizontal

Controls horizontal alignment (Left, Center, Right).

Useful for multi-indicator layouts.


Font Size

Adjusts text size in the panel for readability on different screen resolutions.


🌐 DATA SETTINGS

Refresh Seconds

Determines how often the bot refreshes institutional Options Walls data.

Wall Sentinel connects to AlgoTrend data through an automated Apify scraper, delivering structured options positioning analysis — the kind of market intelligence large investors often pay thousands of euros per year to access.

Lower values = more frequent updates (useful in fast markets)
Higher values = lighter resource usage


📊 MARKET FILTERS

Use EMA Filter

Activates trend alignment using an Exponential Moving Average.

When enabled:

  • Long trades are favored above EMA
  • Short trades are favored below EMA

This prevents trading against dominant directional momentum unless wall conditions are extremely strong.


EMA Period

Controls the sensitivity of the EMA filter.

  • Lower = faster, more reactive
  • Higher = smoother, trend-focused

Default 200 = institutional-style trend filter.


Use RSI Filter

Adds momentum exhaustion logic to trade entries.

RSI helps prevent:

  • Buying into overbought resistance
  • Selling into oversold support


RSI TimeFrame

Defines which timeframe RSI is calculated on.

This can be different from the chart timeframe, allowing:

  • Higher TF RSI → broader market momentum filter
  • Lower TF RSI → entry timing filter


RSI Period

Number of bars used in RSI calculation.

Lower values = more reactive
Higher values = smoother momentum reading


RSI Overbought Level

Threshold above which the market is considered overextended upward.

Used to avoid risky longs or allow contrarian shorts depending on logic mode.


RSI Oversold Level

Threshold below which the market is considered overextended downward.

Used to avoid risky shorts or allow contrarian longs.


RSI Trading Logic

Defines how RSI interacts with options walls and bias.

  • Standard → RSI acts as a traditional confirmation filter
  • Counter → Allows trades against RSI extremes near strong walls
  • Adaptive → RSI behavior changes based on bias, wall proximity, and market regime

Adaptive mode is the most advanced and context-aware.


🧱 OPTIONS WALL INTERACTION

Wall Proximity (pips)

Maximum distance price can be from a Put or Call Wall to consider a trade.

Smaller value = only trade precise reactions
Larger value = more flexible entries around institutional zones


🛑 STOP LOSS SYSTEM

SL Calculation Method

Determines how the bot places Stop Loss:

  • BasedOnWalls → Stop placed beyond structural Put/Call walls
  • FixedPips → Static stop distance regardless of structure
  • ATRBased → Volatility-based dynamic stop

Wall-based SL aligns with institutional levels. ATR-based SL adapts to volatility.


Fixed SL Distance (pips)

Used only when SL method is set to FixedPips.


ATR Multiplier for SL

Multiplier applied to ATR when using ATR-based SL.

Higher = wider stop in volatile markets
Lower = tighter risk control


Auto SL Buffer (pips)

Extra safety margin added beyond structural levels.

Prevents stop-outs from minor liquidity sweeps around institutional walls.


🌡 EXECUTION SAFETY

Max Spread (pips)

Maximum allowed spread for trade execution.

Prevents entering positions during poor liquidity or high transaction cost conditions.


🧠 In Summary

Wall Sentinel is built around:

✔ Institutional options positioning
✔ Gamma and Wall reaction zones
✔ Adaptive technical confirmation
✔ Structured risk control

It blends derivatives market intelligence with price-action filtering, delivering a system designed to trade where real positioning pressure exists, not just chart patterns.

⚠️ Professional Risk Disclaimer

Wall Sentinel is an automated trading system and does not guarantee profits. Financial markets involve significant risk, and losses can exceed deposits depending on leverage and market conditions. Past performance and historical testing results do not guarantee future results.

The bot relies on external options market data delivered through an automated data collection system. While the data source is structured and professionally processed, availability and accuracy cannot be guaranteed at all times.

Users are responsible for:

  • Setting appropriate risk levels
  • Choosing suitable position sizes
  • Monitoring account exposure

This software is intended for educational and trading support purposes and should be used only by traders who understand the risks of leveraged financial instruments.

For any further information, you can find my contact details on my profile page.


โปรไฟล์การเทรด
สไตล์การเทรด
Day trading
ประเภทกลยุทธ์
เทรดตามข่าว
ประเภทการวิเคราะห์
อัลกอริทึม
เชิงปริมาณ
ความถี่ในการเทรด
สูง
ยอดคงเหลือขั้นต่ำที่แนะนำ
$1000
ความเสี่ยงต่อการเทรด
0.5%
ช่วงเวลากราฟ
1 ชั่วโมง
เลเวอเรจในการ Backtest
1:500
ขีดจำกัด Drawdown รายวัน
4%
เข้ากับกฎ Prop Firm
การจัดการความเสี่ยง
ประเภทคำสั่งที่รองรับ
Market
3.5
รีวิว: 2
5
0 %
4
50 %
3
50 %
2
0 %
1
0 %
รีวิวจากลูกค้า
February 12, 2026
The product needs a plain forward sample. For algo trading, 64 setups on daily close should make the strengths and weak spots obvious.
February 8, 2026
On a cautious test, The first pass can stay at small. 0.5 percent risk feels enough, and 3 percent DD would be my limit before changing settings.
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